| A unified control modeling and implementation language for real-time systems would provide consistency, increase flexibility, and likely lead to reduced development cost, time, and communication misinterpretation in the control life cycle. This research is an advance toward the goal of a unified control modeling language for discrete, continuous, and intelligent real-time systems.; This research developed a flexible discrete event control language (FDECL) that is capable of representing the range of (a) discrete event control within the domain of Grafcet, (b) continuous-time control within the domain of DDC block diagrams, and (c) intelligent control within the domain of artificial neural networks. Algorithms to map Grafcet, block diagrams, and artificial neural networks into FDECL were developed and demonstrated for several case studies. An FDECL simulator was developed for the verification and validation of the correctness of mapping methodologies. Simulation of FDECL output was compared to simulation of Grafcet, block diagrams, and artificial neural networks that were developed within other modeling environments. The testing examples cover all building blocks for Grafcet, block diagrams, and artificial neural net models. The simulation results show that the mapped FDECL models can generate the same internal states and outputs as the original Grafcet, block diagrams, and artificial neural networks. |
